Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add frabcd/codex-ai-game-studio --skill adoptgit clone --depth 1 https://github.com/frabcd/codex-ai-game-studioWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/adopt)<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/adopt"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/adopt/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/adopt"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/adopt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.04581 |
| Opus 5.5 | $0.00033 | $0.01832 |
| Sonnet 5.5 | $0.00017 | $0.00916 |
| Haiku 4.5 | $0.00008 | $0.00458 |
Grade A, and why
adopt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Port provenance: adapted from the pinned upstream source at
984023ddac0d5e27624f2baacde6105e45de375funder MIT; see the repository parity ledger for the exact path and blob.
Adopt — Brownfield Template Adoption
This skill audits an existing project's artifacts for format compliance with the template's skill pipeline, then produces a prioritised migration plan.
This is not $ai-game-studio:project-stage-detect.
$ai-game-studio:project-stage-detect answers: what exists?
$ai-game-studio:adopt answers: will what exists actually work with the template's skills?
A project can have GDDs, ADRs, and stories — and every format-sensitive skill will still fail silently or produce wrong results if those artifacts are in the wrong internal format.
Output: docs/adoption-plan-[date].md — a persistent, checkable migration plan.
Argument modes:
Audit mode: the first invocation argument (blank = full)
- No argument /
full: Complete audit — all artifact types gdds: GDD format compliance onlyadrs: ADR format compliance onlystories: Story format compliance onlyinfra: Infrastructure artifact gaps only (registry, manifest, sprint-status, stage.txt)
Phase 1: Detect Project State
Emit one line before reading: "Scanning project artifacts..." — this confirms the
skill is running during the silent read phase.
Then read silently before presenting anything else.
Existence check
production/stage.txt— if present, read it (authoritative phase)design/gdd/game-concept.md— concept exists?design/gdd/systems-index.md— systems index exists?- Count GDD files:
design/gdd/*.md(excluding game-concept.md and systems-index.md) - Count ADR files:
docs/architecture/adr-*.md - Count story files:
production/epics/**/*.md(excluding EPIC.md) .ai-game-studio/project.json— engine configured?docs/engine-reference/— engine reference docs present?- file discovery
docs/adoption-plan-*.md— note the filename of the most recent prior plan if any exist
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 445 lines · 83 tokens per session scan A e6e587de2921
adopt is a skill published in the GitHub repository frabcd/codex-ai-game-studio (17 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 4,581 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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